BioCopy GmbH
79312 Emmendingen - Deutschland
Biologe/Biologin
Arbeit
Vollzeit
ab 15.04.2026
Beschreibung
Senior Scientist (m/w/d) - AI/ML Antibody Modeling (TCRm & pHLA)
Full-Time | Emmendingen | Freiburg Region
Who we are
BioCopy is pioneering next-generation TCRm antibody therapeutics by unlocking the pHLA target space. Our ValidaTe platform uniquely integrates high-throughput wet-lab screening, structural insights, and AI to rapidly identify, validate, and optimize highly specific antibody candidates. Antibody & Protein Modeling
Develop and apply deep learning and generative AI methods for an... weiter lesen
Full-Time | Emmendingen | Freiburg Region
Who we are
BioCopy is pioneering next-generation TCRm antibody therapeutics by unlocking the pHLA target space. Our ValidaTe platform uniquely integrates high-throughput wet-lab screening, structural insights, and AI to rapidly identify, validate, and optimize highly specific antibody candidates. Antibody & Protein Modeling
Develop and apply deep learning and generative AI methods for an... weiter lesen
Senior Scientist (m/w/d) - AI/ML Antibody Modeling (TCRm & pHLA)
Full-Time | Emmendingen | Freiburg Region
Who we are
BioCopy is pioneering next-generation TCRm antibody therapeutics by unlocking the pHLA target space. Our ValidaTe platform uniquely integrates high-throughput wet-lab screening, structural insights, and AI to rapidly identify, validate, and optimize highly specific antibody candidates. Antibody & Protein Modeling
Develop and apply deep learning and generative AI methods for antibody sequence and structure design.
Build and refine protein language model-based pipelines for binding prediction, specificity optimization, and in silico affinity maturation.
Implement structure-based and sequence-based tools for antibody-pHLA modeling and co-optimization.
AI/ML Development
Design, train, and validate ML models using BioCopy’s internal datasets (e.g., peptide array binding data, ValidaTe outputs, structural features, PLM embeddings).
Integrate geometric DL, transformer architectures, and multimodal models into antibody engineering workflows.
Establish best practices for data preprocessing, model evaluation, and reproducible research.
Cross-Functional Collaboration
Work closely with antibody engineers, pHLA biology experts, and software engineers to co-design molecules and translate model predictions into wet-lab experiments.
Contribute to BioCopy’s AI roadmap and help build scalable, maintainable computational infrastructure.
Present results clearly to internal teams and leadership
Hold a PhD in computational biology, structural biology, machine learning, bioinformatics, or a related field.
Have strong experience with deep learning for proteins, such as:
Protein language models (transformers)
Geometric deep learning (GNNs, equivariant networks)
Generative models (diffusion, VAEs)
Are proficient in Python and frameworks like PyTorch, JAX, or TensorFlow.
Have experience with antibody modeling, protein structure prediction, or immunology (a strong plus).
Enjoy working in a fast-paced, highly collaborative biotech environment.
Are motivated by scientific impact and want to help shape a young and ambitious AI program from the ground up.
Unlimited employment and 30 days leave
Flexible work hours, work-life balance
Opportunity to build BioCopy’s AI/ML capabilities at a pivotal stage of growth.
Close integration with wet-lab teams and real experimental feedback loops.
Work on cutting-edge problems in TCRm design and pHLA targeting.
A collaborative, low-bureaucracy environment where your ideas directly shape strategy.
Competitive compensation package
Modern office & lab environment in the Freiburg region with flexible working options.
Full-Time | Emmendingen | Freiburg Region
Who we are
BioCopy is pioneering next-generation TCRm antibody therapeutics by unlocking the pHLA target space. Our ValidaTe platform uniquely integrates high-throughput wet-lab screening, structural insights, and AI to rapidly identify, validate, and optimize highly specific antibody candidates. Antibody & Protein Modeling
Develop and apply deep learning and generative AI methods for antibody sequence and structure design.
Build and refine protein language model-based pipelines for binding prediction, specificity optimization, and in silico affinity maturation.
Implement structure-based and sequence-based tools for antibody-pHLA modeling and co-optimization.
AI/ML Development
Design, train, and validate ML models using BioCopy’s internal datasets (e.g., peptide array binding data, ValidaTe outputs, structural features, PLM embeddings).
Integrate geometric DL, transformer architectures, and multimodal models into antibody engineering workflows.
Establish best practices for data preprocessing, model evaluation, and reproducible research.
Cross-Functional Collaboration
Work closely with antibody engineers, pHLA biology experts, and software engineers to co-design molecules and translate model predictions into wet-lab experiments.
Contribute to BioCopy’s AI roadmap and help build scalable, maintainable computational infrastructure.
Present results clearly to internal teams and leadership
Hold a PhD in computational biology, structural biology, machine learning, bioinformatics, or a related field.
Have strong experience with deep learning for proteins, such as:
Protein language models (transformers)
Geometric deep learning (GNNs, equivariant networks)
Generative models (diffusion, VAEs)
Are proficient in Python and frameworks like PyTorch, JAX, or TensorFlow.
Have experience with antibody modeling, protein structure prediction, or immunology (a strong plus).
Enjoy working in a fast-paced, highly collaborative biotech environment.
Are motivated by scientific impact and want to help shape a young and ambitious AI program from the ground up.
Unlimited employment and 30 days leave
Flexible work hours, work-life balance
Opportunity to build BioCopy’s AI/ML capabilities at a pivotal stage of growth.
Close integration with wet-lab teams and real experimental feedback loops.
Work on cutting-edge problems in TCRm design and pHLA targeting.
A collaborative, low-bureaucracy environment where your ideas directly shape strategy.
Competitive compensation package
Modern office & lab environment in the Freiburg region with flexible working options.
Ref-Nr.: 9952655
Aktualisiert:
19.04.2026
Quelle: Bundesagentur für Arbeit
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Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
weitere Infos Rechtliche Hinweise zur Nutzung
Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
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